Artificial intelligence in neuro-oncology: advances and challenges in brain tumor diagnosis, prognosis, and precision treatment

S Khalighi, K Reddy, A Midya, KB Pandav… - NPJ Precision …, 2024 - nature.com
This review delves into the most recent advancements in applying artificial intelligence (AI)
within neuro-oncology, specifically emphasizing work on gliomas, a class of brain tumors …

Artificial intelligence in surgery

C Varghese, EM Harrison, G O'Grady, EJ Topol - Nature Medicine, 2024 - nature.com
Artificial intelligence (AI) is rapidly emerging in healthcare, yet applications in surgery
remain relatively nascent. Here we review the integration of AI in the field of surgery …

ChatGPT versus the neurosurgical written boards: a comparative analysis of artificial intelligence/machine learning performance on neurosurgical board–style …

BS Hopkins, VN Nguyen, J Dallas, P Texakalidis… - Journal of …, 2023 - thejns.org
Methods Six hundred forty-three Congress of Neurological Surgeons (CNS) Self-
Assessment Neurosurgery (SANS) questions were used to evaluate performance on the …

GPT-4 artificial intelligence model outperforms ChatGPT, medical students, and neurosurgery residents on neurosurgery written board-like questions

GA Guerra, H Hofmann, S Sobhani, G Hofmann… - World neurosurgery, 2023 - Elsevier
Background Artificial intelligence (AI) and machine learning have transformed health care
with applications in various specialized fields. Neurosurgery can benefit from artificial …

Demonstrating the successful application of synthetic learning in spine surgery for training multi–center models with increased patient privacy

E Schonfeld, A Veeravagu - Scientific Reports, 2023 - nature.com
From real–time tumor classification to operative outcome prediction, applications of machine
learning to neurosurgery are powerful. However, the translation of many of these …

[HTML][HTML] The future of artificial intelligence in neurosurgery: a narrative review

J Iqbal, K Jahangir, Y Mashkoor, N Sultana… - Surgical neurology …, 2022 - ncbi.nlm.nih.gov
Background: Artificial intelligence (AI) and machine learning (ML) algorithms are on the
tremendous rise for being incorporated into the field of neurosurgery. AI and ML algorithms …

Revolutionizing spinal interventions: a systematic review of artificial intelligence technology applications in contemporary surgery

H Han, R Li, D Fu, H Zhou, Z Zhan, Y Wu, B Meng - BMC surgery, 2024 - Springer
Leveraging its ability to handle large and complex datasets, artificial intelligence can
uncover subtle patterns and correlations that human observation may overlook. This is …

Automated surgical planning in spring-assisted sagittal craniosynostosis correction using finite element analysis and machine learning

J Jacob, S Bozkurt - Plos one, 2023 - journals.plos.org
Sagittal synostosis is a condition caused by the fused sagittal suture and results in a
narrowed skull in infants. Spring-assisted cranioplasty is a correction technique used to …

Beyond human in neurosurgical exams: ChatGPT's success in the Turkish neurosurgical society proficiency board exams

MC Sahin, A Sozer, P Kuzucu, T Turkmen… - Computers in Biology …, 2024 - Elsevier
Abstract Chat Generative Pre-Trained Transformer (ChatGPT) is a sophisticated natural
language model that employs advanced deep learning techniques and is trained on …

Artificial intelligence and ChatGPT: An otolaryngology patient's ally or foe?

J Langlie, B Kamrava, LJ Pasick, C Mei… - American journal of …, 2024 - Elsevier
Background As artificial intelligence (AI) is integrating into the healthcare sphere, there is a
need to evaluate its effectiveness in the various subspecialties of medicine, including …